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Boosting Source Code Learning with Data Augmentation: An Empirical Study


Mar 13, 2023
Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao

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GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks


Feb 06, 2023
Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon

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On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices


Dec 15, 2022
Salah Ghamizi, Maxime Cordy, Michail Papadakis, Yves Le Traon

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Enhancing Code Classification by Mixup-Based Data Augmentation


Oct 06, 2022
Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao

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Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling


Oct 06, 2022
Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao

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LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity


Jul 26, 2022
Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen

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* Accepted at ECCV 2022 

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Efficient Testing of Deep Neural Networks via Decision Boundary Analysis


Jul 22, 2022
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon

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* 12 pages 

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CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning


Jun 11, 2022
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon

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* 19 pages 

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Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment


Apr 08, 2022
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon

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* 12 pages 

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Labeling-Free Comparison Testing of Deep Learning Models


Apr 08, 2022
Yuejun Guo, Qiang Hu, Maxime Cordy, Xiaofei Xie, Mike Papadakis, Yves Le Traon

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* 12 pages 

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